Self-similar spreading in a merging-splitting model of animal group size
arXiv:1903.10020 · doi:10.1007/s10955-019-02280-w
Abstract
In a recent study of certain merging-splitting models of animal-group size (Degond et al., J. Nonl. Sci. 27 (2017) 379), it was shown that an initial size distribution with infinite first moment leads to convergence to zero in weak sense, corresponding to unbounded growth of group size. In the present paper we show that for any such initial distribution with a power-law tail, the solution approaches a self-similar spreading form. A one-parameter family of such self-similar solutions exists, with densities that are completely monotone, having power-law behavior in both small and large size regimes, with different exponents.
arXiv comment27 pages
References in corpus (7)
- Power-law versus exponential distributions of animal group sizes
- Coagulation-fragmentation model for animal group-size statistics
- Self-similar solutions with fat tails for Smoluchowski's coagulation equation with locally bounded kernels
- On generating functions of Hausdorff moment sequences
- The scaling attractor and ultimate dynamics for Smoluchowski's coagulation equations
- Limit theorems for Smoluchowski dynamics associated with critical continuous-state branching processes
- Self-similar solutions to coagulation equations with time-dependent tails: the case of homogeneity smaller than one